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    <title>topic Re: Fractional factorial with 3-level factors in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1535#M1535</link>
    <description>Thank you Lou and Paige.  I will try them out.</description>
    <pubDate>Thu, 25 Mar 2010 12:33:27 GMT</pubDate>
    <dc:creator>jimq</dc:creator>
    <dc:date>2010-03-25T12:33:27Z</dc:date>
    <item>
      <title>Fractional factorial with 3-level factors</title>
      <link>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1532#M1532</link>
      <description>I have a product mix with three components I am trying to minimize while maximizing my response.  I have one response and four continuous factors.  3 of the factors are components of the product and the fourth factor is the starting temperature of the test that yields the response.&lt;BR /&gt;&lt;BR /&gt;I would like to perform a fractional factorial rather than the full factorial method.  I want all four factors to have three levels but reduce the number of trials from 81.  A Screening design only allows 2-level factors.  A Taguchi design allows 3-level factors but doesn't seem to be the right modeling method for my project.&lt;BR /&gt;&lt;BR /&gt;Can a 3x3x3x3 fractional factorial be done using JMP6 or JMP7 to do this?</description>
      <pubDate>Wed, 24 Mar 2010 18:54:15 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1532#M1532</guid>
      <dc:creator>jimq</dc:creator>
      <dc:date>2010-03-24T18:54:15Z</dc:date>
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    <item>
      <title>Re: Fractional factorial with 3-level factors</title>
      <link>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1533#M1533</link>
      <description>If the three components as you mention are truly components in a formulation then I would simply use the Custom Design capability in JMP to set up a 4 factor design where the first three factors are mixture components and the 4th factor is a continuous factor = Temperature. Adding the interactions to the model and specifying some center points (N=3) the number of runs required would only be 15. By treating this as a two level design with center points you get your three levels as you desired.</description>
      <pubDate>Wed, 24 Mar 2010 23:13:33 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1533#M1533</guid>
      <dc:creator>louv</dc:creator>
      <dc:date>2010-03-24T23:13:33Z</dc:date>
    </item>
    <item>
      <title>Re: Fractional factorial with 3-level factors</title>
      <link>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1534#M1534</link>
      <description>In JMP5, the answer is YES, you can get a fractional factorial of a 3**4 design (so I assume later versions of JMP can do this also).&lt;BR /&gt;&lt;BR /&gt;The fractional factorial you are interested in is indeed the Taguchi 9-run design or the Taguchi 27-run design. These are identical to a standard fractional factorial. No difference. Go ahead, use it without qualms.&lt;BR /&gt;&lt;BR /&gt;I also point out that a central composite design (response surface design) often has better statistical properties than the fractional factorial of a 3**4, and usually involves fewer runs as well.&lt;BR /&gt;&lt;BR /&gt;Message was edited by: Paige</description>
      <pubDate>Thu, 25 Mar 2010 12:18:54 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1534#M1534</guid>
      <dc:creator />
      <dc:date>2010-03-25T12:18:54Z</dc:date>
    </item>
    <item>
      <title>Re: Fractional factorial with 3-level factors</title>
      <link>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1535#M1535</link>
      <description>Thank you Lou and Paige.  I will try them out.</description>
      <pubDate>Thu, 25 Mar 2010 12:33:27 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Fractional-factorial-with-3-level-factors/m-p/1535#M1535</guid>
      <dc:creator>jimq</dc:creator>
      <dc:date>2010-03-25T12:33:27Z</dc:date>
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